Adithya Thaduri

Associate Professor
Luleå University of Technology

Research subject: Operation and Maintenance

Division: Operation, Maintenance and Acoustics

Department of Civil, Environmental and Natural Resources Engineering

adithya.thaduri@ltu.se
+46 (0)920 493444
T2059 Luleå

Research Profile

[https://www.ltu.se /cms_fs/1.90860!/file/Adithya%20Thaduri%20CV%20LTU%20N.pdf]

Adithya Thaduri's areas of research are on diagnostics and prognostics, degradation modelling, maintenance decision support systems in railway infrastructure. He has worked on EU Projects; INFRALERT, IN2Smart, IN2Rail, Fr8Rail, projects on Railway, mining and aircraft for national projects such as SIMTRACK, MINDI, NFFP6, PipeXRail relates to reliability, maintenance, data analytics and decision support. He has over 30 publications in the area of reliability and maintenance of components and systems

INFRALERT

INFRALERT aims to develop an expert-based information system to support and automate infrastructure management (eIMS) from measurement to maintenance for linear assets.

[http://www.ltu.se/centres/jvtc/Projekt/Pagaende-projekt/INFRALERT-1.155437?l=en]

In2Rail

IN²RAIL will pave the way for the optimisation of the design of core infrastructure elements as well as improve the management of the railway system by adopting a holistic approach.

[http://www.ltu.se/centres/jvtc/Projekt/Pagaende-projekt/In2Rail-1.155443?l=en]

CLIMAINT

The aim of CliMaint is to ensure robust and reliable railway infrastructure by maintenance adaptation to climate change. The objective of the project is to reduce future disturbances due to extreme climate conditions by effective maintenance program.

[https://www.ltu.se/research/subjects/Drift-och-underhall/Forskningsprojekt/Pagaende-projekt/CliMaint?l=en]

SHIFT2RAIL - IN2SMART

IN2SMART represents the first project of the Shift2Rail members referring to the following railway monitoring, information management and asset management strategies for effective operation and maintenance

[https://www.ltu.se/centres/jvtc/Projekt/Pagaende-projekt/IN2SMART-1.164747?l=en]

Simulation of railway track geometry and intelligent maintenance planning (SIMTRACK)

SIMTRACK will facilitate a simulation-based platform that enables development of tools, methodologies and techniques for the optimization of track geometry maintenance planning and scheduling in efficient and effective way.

[https://www.ltu.se/centres/jvtc/Projekt/Pagaende-projekt/Simulation-of-railway-track-geometry-and-intelligent-maintenance-planning-SIMTRACK-1.178608?l=en]

AI and maintenance for India's mining industry

The main aim is improve the operation and maintenance process through prescriptive analytics by utilising eMaintenance and Industrial AI on the trucks working in the coal mines.

[https://www.ltu.se/research/subjects/Drift-och-underhall/Nyheter/AI-och-underhall-for-Indiens-gruvindustri-1.192875?l=en]

[https://www.ltu.se/edu/course/D70/D7007B/D7007B-Underhallsteknik-1.147686?l=en]

Publications

Article in journal

A framework for now-casting and forecasting in augmented asset management (2022)

Kumari. J, Karim. R, Thaduri. A, Dersin. P

International Journal of Systems Assurance Engineering and Management, Vol. 13, nr. 5, s. 2640-2655

Article in journal

A Methodology for Cybersecurity Risk Assessment – A Case-study in Railway (2022)

Kour. R, Patwardhan. A, Thaduri. A, Karim. R

International Journal of COMADEM, Vol. 25, nr. 2, s. 5-12

Full text

Article, review/survey

A review on cybersecurity in railways (2022)

Kour. R, Patwardhan. A, Thaduri. A, Karim. R

Part of: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit

Conference paper

An Architecture for Predictive Maintenance using 3D Imaging: A Case Study on Railway Overhead Catenary (2022)

Patwardhan. A, Thaduri. A, Karim. R, Castano. M

Part of: Proceedings of the 32nd EuropeanSafety and Reliability Conference (ESREL 2022), s. 3103-3110, Research Publishing Services, 2022

Article in journal

Augmented asset management in railways - Issues and challenges in rolling stock (2022)

Kumari. J, Karim. R, Thaduri. A, Castano. M

Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, Vol. 236, nr. 7, s. 850-862

Find more in the publications portal

Published:27 March 2012

Updated: 23 November 2021

Edit page